Department of Computer Science Course Catalogue 2025/26
USCM-AKM32: MComp(Hons) Computer Science and Mathematics with professional placement or study abroad
Route: MComp(Hons) Computer Science and Mathematics with professional placement
Leading to the award of MASTER OF COMPUTING IN COMPUTER SCIENCE AND MATHEMATICS
Mode of Attendance: Full-time with Thick Sandwich Placement
Normal course duration: 5 Years
[Page last updated: 22 April 2025]
This course is for students who will be in Years 1, 2 or 3 in 2025/26
Applicable assessment regulations: | Undergraduate assessment regulations - /publications/undergraduate-assessment-regulations/ |
Approved exemptions: | None |
Coexistent Masters course?: | Yes |
DACS and exit awards: | USCM-AKB32: BSc(Hons) Computer Science and Mathematics with professional placement or study abroad is the designated alternative course (DAC).
Transfer to DAC is possible in years 1 or 2 if co-existent master's progression threshold is not met.
USCM-AFM32: MComp(Hons) Computer Science and Mathematics is the designated alternative course (DAC).
Transfer to this DAC only possible from year 4 (placement/study year).
Exit awards:
BSc(Hons) Computer Science and Mathematics with professional placement or study abroad is the designated alternative course. Overall course average: weighted stage 1 0%, stage 2 32%, stage 3 0%, final stage 68%
Diploma of Higher Education
Certificate of Higher Education
In exceptional circumstances a student may transfer from the fourth year of MComp(Hons) Computer Science and Mathematics with professional placement or study abroad (i.e. the placement year) to BSc(Hons) Computer Science and Mathematics with professional placement or study abroad. This would make the placement year the final year of the course. Students wishing to take up this opportunity must discuss it with their Director of Studies by the end of January of the year in which they wish to graduate (the year they are undertaking the placement/study abroad. |
Weighting towards final award by stage: | Stage 1: 0%
Stage 2: 16%
Stage 3: 34%
Stage 4: 0%
Final Stage: 50% |
Please consult your course handbook or contact your Director of Studies for further information on assessment regulations
Academic Year: Stage 1
Compulsory Units:
Unit Code | Title | ECTS Credits |
| CM12001 | Artificial intelligence 1 | 10 Credits |
Semester 1: Stage 1
Must Pass Units:
Unit Code | Title | ECTS Credits |
| CM12003 | Programming 1 | 10 Credits |
Compulsory Units:
Unit Code | Title | ECTS Credits |
| MA12012 | Core pure and statistical mathematics A | 15 Credits |
Semester 2: Stage 1
Must Pass Units:
Unit Code | Title | ECTS Credits |
| CM12005 | Programming 2 | 10 Credits |
Compulsory Units:
Unit Code | Title | ECTS Credits |
| MA12013 | Core pure and statistical mathematics B | 15 Credits |
Notes: - 好色tv and units may be changed in accordance with normal University procedures.
- This course catalogue is applicable for all years of study for the 2025/26 academic year only. Students continuing their studies into 2026/27 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
- Assessment regulations are subject to review and update. Links given here will provide access to the latest versions of documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how assessment regulations were applied to this course in previous academic years, please contact the relevant Director of Studies.
- Availability of units is subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
|
Academic Year: Stage 2
Compulsory Units:
Unit Code | Title | ECTS Credits |
| CM22007 | Software engineering | 10 Credits |
| CM22008 | Algorithms and complexity | 10 Credits |
| CM22009 | Machine learning | 10 Credits |
Semester 1: Stage 2
Compulsory Units:
Unit Code | Title | ECTS Credits |
| MA22014 | Statistics 2A | 10 Credits |
| MA22020 | Advanced linear algebra | 5 Credits |
Semester 2: Stage 2
Compulsory Units:
Unit Code | Title | ECTS Credits |
| MA22015 | Statistics 2B | 5 Credits |
| MA22017 | Groups and rings | 10 Credits |
Notes: - 好色tv and units may be changed in accordance with normal University procedures.
- This course catalogue is applicable for all years of study for the 2025/26 academic year only. Students continuing their studies into 2026/27 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
- Assessment regulations are subject to review and update. Links given here will provide access to the latest versions of documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how assessment regulations were applied to this course in previous academic years, please contact the relevant Director of Studies.
- Availability of units is subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
|
| Students must select 40 credits of options to include: - a total of 10 credits of Computer Science/Generally Available options, taking 5 credits in each semester (10-credit AY units count as 5 credits per semester);
- either all units in the Algebra pathway or all units in the Statistics pathway.
Please note that the pathway chosen in this year must be continued in the final year (e.g. students who choose the algebra pathway in this year, you must also follow the algebra pathway in their final year). |
Academic Year: Stage 3
Must Pass Units:
Unit Code | Title | ECTS Credits |
| CM32017 | Individual project | 20 Credits |
Optional Units: Select a minimum of 0 and a maximum of 1 units from the following list:
| Computer Science/Generally available options (non-Maths options) |
Unit Code | Title | ECTS Credits |
| CM32032 | Reinforcement learning | 10 Credits |
Semester 1: Stage 3
Optional Units: Select a minimum of 0 and a maximum of 1 units from the following list:
| Computer Science/Generally available options (non-Maths options) |
Unit Code | Title | ECTS Credits |
| CM32025 | Computational complexity | 5 Credits |
| MN22156 | Digital business innovation | 5 Credits |
Semester 2: Stage 3
Optional Units: Select a minimum of 0 and a maximum of 1 units from the following list:
| Computer Science/Generally available options (non-Maths options) |
Unit Code | Title | ECTS Credits |
| CM22014 | Cybersecurity | 5 Credits |
| CM32029 | Logic and semantics | 5 Credits |
| MN32184 | Business strategy | 5 Credits |
Algebra pathway (Maths options)/h4>
Semester 1: Stage 3
Optional Units: Select 3 units from the following list:
| Algebra pathway (S1) (Maths options) |
Unit Code | Title | ECTS Credits |
| MA32047 | Differential geometry of curves and surfaces | 5 Credits |
| MA32064 | Number theory and cryptography | 5 Credits |
| MA32069 | Projective geometry | 5 Credits |
Semester 2: Stage 3
Optional Units: Select 2 units from the following list:
| Algebra pathway (S2) (Maths options) |
Unit Code | Title | ECTS Credits |
| MA32055 | Groups and their representations | 10 Credits |
| MA32056 | Introduction to topology | 5 Credits |
Statistics pathway (Maths options)/h4>
Semester 1: Stage 3
Optional Units: Select 2 units from the following list:
| Statistics pathway (S1) (Maths options) |
Unit Code | Title | ECTS Credits |
| MA32022 | Statistical modelling and data analytics 3A | 10 Credits |
| MA32025 | Medical statistics | 5 Credits |
Semester 2: Stage 3
Optional Units: Select 2 units from the following list:
| Statistics pathway (S2) (Maths options) |
Unit Code | Title | ECTS Credits |
| MA32023 | Bayesian statistics | 5 Credits |
| MA32024 | Statistical modelling and data analytics 3B | 10 Credits |
Notes: - 好色tv and units may be changed in accordance with normal University procedures.
- This course catalogue is applicable for all years of study for the 2025/26 academic year only. Students continuing their studies into 2026/27 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
- Assessment regulations are subject to review and update. Links given here will provide access to the latest versions of documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how assessment regulations were applied to this course in previous academic years, please contact the relevant Director of Studies.
- Availability of units is subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
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